Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects

Author:

Li Linyi1,Zhang Yuhao2,Ren Luyao3,Xiong Yingfei3,Xie Tao3

Affiliation:

1. University of Illinois Urbana-Champaign,Department of Computer Science

2. University of Wisconsin-Madison,Department of Computer Sciences

3. School of Computer Science, Peking University

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Innovation and Technology Commission of HKSAR

Publisher

IEEE

Reference64 articles.

1. A deep reinforcement learning perspective on Internet congestion control;jay;36th International Conference on Machine Learning ICML,0

2. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

3. Taxonomy of real faults in deep learning systems

4. Machine learning testing: Survey, landscapes and horizons;zhang;IEEE Transactions on Software Engineering,2022

5. ImageNet classification with deep convolutional neural networks;krizhevsky;Advances in Neural Information Processing Systems 20 NIPS,2012

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